Engineering Manager / Technical Lead
A topic hub collecting every article tagged LLMOps. Use it to explore related posts and follow this theme across the site.
7 articles
A practical, source-backed workflow for reviewing AI-generated responses for factual accuracy and relevance, scoring them with structured rubrics, and turning feedback into better prompts, evals, and product decisions.
A practical guide for implementing LangWatch evaluations in Agno and AgentOS systems, from first traces and batch experiments to structured-output scoring, production monitors, and background evaluation hooks.
LLM-as-a-judge can be one of the most useful patterns in agent evaluation, but only if you understand where it breaks: order bias, self-preference, verbosity bias, weak judges, and evidence-free scoring. This guide explains the pattern, the common traps, and the fixes that make it practical.
Why production agent evaluation is moving beyond output-only checks, how trace-aware grading complements scenario testing, and how LangWatch, LangSmith, and Langfuse compare.
A deep dive into LangWatch MCP Server — from basic setup to legendary architectural patterns for test-driven AI development and production inference monitoring.
A comprehensive, multi-level deep dive into testing and quality assurance for modern AI-powered systems — from static web apps to agentic pipelines and MCP servers — using LiteLLM, LangWatch, Agno, AgentOS, and the Claude Agent SDK.
A deep comparison of LiteLLM and LangWatch — two essential tools in the modern LLM stack. Discover where they overlap, where they complement each other, and how to use them together for production-grade AI systems.
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